<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/10bb895f0dea423282287bbd2b42f176&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/10bb895f0dea423282287bbd2b42f176-00001.gif</thumbnail_url><duration>268.04</duration><title>Interactive Chatbot with AI and ML 🤖</title><description>In this video, I introduce an interactive chatbot that utilizes artificial intelligence, machine learning, text-to-speech, and speech-to-text technology. I explain how I am using OpenAI&apos;s ChatGPT 3.5 Turbo model for chat responses, OpenAI&apos;s Whisper model for speech-to-text transcription, and ElevenLabs&apos;s text-to-speech conversion API for voiceover. I demonstrate the process of recording my speech, transcribing it into text, generating a response from the chatbot, and converting the response into a voiceover. My chatbot also supports multiple languages and can maintain ongoing conversations in them!</description></oembed>